Use of Satellite Data to Extract pH Values for Crop Planning and Management of Sorghum and Green Gram in Tharaka Nithi and Machakos Counties, Kenya

Manzi K. H. *

Department of Agriculture Science and Technology, Kenyatta University, Kenya.

Shadrack Ngene

Kenya Wildlife Service, Spatial Ecology and Biodiversity Monitoring, Kenya.

Joseph P. Gweyi-Onyango

Department of Agriculture Science and Technology, Kenyatta University, Kenya.

*Author to whom correspondence should be addressed.


Soil pH is one of the most important soil properties influencing plant growth and productivity. The pH of the soil affects nutrient availability, microbial activity, and soil structure. As a result, accurate soil pH measurement is critical for effective soil management, plant growth, and sustainable agriculture practices. This study was conducted by analyzing the Landsat 8 satellite images, soil data of field surveys, laboratory analyses and statistical computations. The research combined and integrated the soil data from survey and laboratory with Landsat 8 satellite images to build two multiple regression equations model to enable the comparison of the two datasets i.e., field data and satellite data. The field and satellite data depicted the soil pH to range between 6.4 -7.8 for green gram while that of sorghum study area was 6.5 to 7.5. Field data showed a very strong relationship between field and satellite data with R2 for green gram soil pH being 0.91 while that for sorghum was 0.99. The positive relationship between field and satellite data is an indication that soil pH can be estimated from satellite thereby increasing the frequency of soil pH monitoring and as well as having a cost-effective and rapid method for soil pH determination.

Keywords: Soil pH, landsat 8, green gram, sorghum, satellite, climate smart

How to Cite

Manzi K. H., Ngene , S., & Gweyi-Onyango , J. P. (2023). Use of Satellite Data to Extract pH Values for Crop Planning and Management of Sorghum and Green Gram in Tharaka Nithi and Machakos Counties, Kenya. Asian Journal of Advances in Agricultural Research, 23(3), 25–32.


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